LCP1

主要用于图像处理，局部二值模式，人脸识别方面(Mainly used for image processing, local binary patterns, face recognition area)

本书可作为信息处理、计算机、机器人、人工智能、遥感图像处理、认知神经科学等有关专业的高年级学生或研究生的教学用书，也可供相关领域的研究工作者参考。(This book can be used as information processing, computer, robot, remote sensing image processing, artificial intelligence, cognitive neuroscience and related professional senior student or graduate student s teaching resources, also can be used for reference in the related areas of research workers.)

Pcnn与otsu结合，自适应找出Pcnn点火次数！(It is pcnn base on OTSU,can stop the program adaptive.)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割(Automatic seeded region growing code, using MATLAB operation, do not need to select seed points can be automatically selected threshold image segmentation)

说明：  代码包含多种图像去雾质量评价标准，PSNR，彩色图像信息熵，WPSNR等，MATLAB可直接使用(Code contains a variety of image defogging quality evaluation criteria, PSNR, color image information entropy, WPSNR, etc., which can be directly used by MATLAB.)

说明：  一个很有用的Markov Decision Process matlab程序(a very useful Markov Decision Process procedures Matlab)

说明：  基于matlab的语音信号处理快速傅里叶变换程序(Fast Fourier Transform Program for Speech Signal Processing Based on MATLAB)

首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法(The program is my many years of experience and code, the realization of the panorama target tracking, flame detection, smoke detection, standing up sitting judge, cross-border intrusion, wandering, illegal parking and other various intelligent functions integration, particle filter, Bayesian classifier, random forest variety of online learning mechanism, and the traditional CAMSHIFT, meanshift, optical flow method, Kalman filter, the, KCF, regional matching, phase correlation, contour tracking and other several algorithms)

很好用的风能利用系数曲线，对开始学习的同学有帮助(Good use of wind energy utilization coefficient curve, start learning help students)